Secure your code with
AI-first secret detection

Gitleaks uses regex-based pattern scanning optimized for speed, ideal as a pre-commit hook or local CLI check. Puaro adds AI-powered context analysis to classify secrets by severity and explain why each finding matters in the pull request. In Puaro's April 2026 benchmark on OpenSSL, Gitleaks raised 8,449 alerts while Puaro raised 15, each with severity and written reasoning (~99.8% fewer alerts on that corpus). That gap reflects approach, not a claim that Gitleaks misses every secret: regex tools flag candidates quickly but leave triage to developers. Puaro targets teams drowning in noise who want actionable check runs before merge. See the comparison table above and methodology for full context.

TruffleHog focuses on deep credential verification by contacting provider APIs across 800+ detector types, which suits historical audits and proving a key is still live. Puaro combines AI-powered classification with native PR/MR workflow integration: findings appear as GitHub check runs with severity, confidence, and plain-English explanations developers can act on without a security specialist. TruffleHog typically requires self-hosted infrastructure or Enterprise deployment; Puaro connects via OAuth in roughly five minutes with zero agents. On OpenSSL in Puaro's April 2026 benchmark, TruffleHog produced 349 alerts versus Puaro's 15 with reasoning on each. Choose TruffleHog when live verification across many sources is the priority; choose Puaro when merge-time prevention with low noise is the goal.

GitGuardian is a broad secret monitoring platform covering git and many non-code surfaces with incident workflows suited to security operations teams. Puaro is built for pull request prevention: stopping credentials before merge in the developer workflow developers already use. Setup is OAuth-based SaaS with no agents, typically under five minutes versus org-wide onboarding projects. Puaro's AI Context Engine targets false positive noise. In the April 2026 OpenSSL benchmark, GitGuardian raised 675 alerts compared with Puaro's 15, each annotated with severity. GitGuardian fits org-wide sprawl programs; Puaro fits engineering teams that want developer-trusted PR checks. See the comparison table above and the benchmark blog report for tables.

Puaro achieves a typical 2-5% false positive band in internal labeled tests through its AI Context Engine, which reads code semantics and usage patterns rather than matching patterns blindly. Most regex-only scanners produce false positive rates of 20-40% without significant allowlist tuning, which is a common reason developers ignore findings. Puaro publishes how these numbers are measured on the methodology page, including the April 2026 benchmark across eight open-source repositories (~2.2M lines). These are benchmark results from controlled tests, not a warranty that every customer repository will match the same band. Language, test fixture density, and secret types all affect outcomes. We share methodology so buyers can evaluate claims, not so we can promise perfection.

No. Puaro runs entirely on Puaro's cloud infrastructure. There are no agents, no servers, no Docker workers, and no configuration files to manage in your environment. Teams connect GitHub or GitLab and scanning starts on pull requests and merge requests. Findings surface as GitHub check runs or GitLab merge request comments. Bitbucket is planned. This contrasts with self-hosted scanners that require CI pipeline glue, outbound verification calls, or on-prem workers. Puaro operates with zero code retention by default: source is analyzed for the scan and not kept afterward. SOC 2 certification is in progress with GDPR-ready data handling options for enterprises that need regional processing controls.